投稿時間:2021-10-23 18:23:15 RSSフィード2021-10-23 18:00 分まとめ(24件)

カテゴリー等	サイト名等	記事タイトル・トレンドワード等	リンクURL	頻出ワード・要約等/検索ボリューム	登録日
python	Pythonタグが付けられた新着投稿 - Qiita	プログラミング学習　Day5（リスト、タプル、ディクショナリー）	https://qiita.com/blue21st/items/794c4c053e79937ae4cb	参照先の変数を変更すれば参照元を変更できる。	2021-10-23 17:57:21
python	Pythonタグが付けられた新着投稿 - Qiita	マイナビプログラミングコンテスト2021(ABC201) A～C問題 ものすごく丁寧でわかりやすい解説 python 灰色～茶色コーダー向け #AtCoder	https://qiita.com/sano192/items/2727b2629389ba81c61d	一つでも条件を満たせば「Yes」を出力し、途中で終了します。	2021-10-23 17:14:29
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	2Dアクションで斜めの足場の正確な当たり判定がしたい	https://teratail.com/questions/365857?rss=all	Dアクションで斜めの足場の正確な当たり判定がしたい前提・実現したいことCとDxlibでDアクションゲームを作っています。	2021-10-23 17:50:45
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	VScode, pythonでのインテリセンスが働かない	https://teratail.com/questions/365856?rss=all	pylance	2021-10-23 17:49:41
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	ボタンを押した時点の時間を記録したい。	https://teratail.com/questions/365855?rss=all	実現したいことは、いくつかのボタンがあり、そのボタンを押した時点の時間を各種ラベルに表示したいと思っています。	2021-10-23 17:49:18
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	Pythonでつくる対話システムで作っているtweet_crawler.pyのエラー	https://teratail.com/questions/365854?rss=all		2021-10-23 17:37:53
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	Java Scanner 入力　重複してしまう なぜ	https://teratail.com/questions/365853?rss=all	JavaScanner入力重複してしまうなぜ前提・実現したいことJavaを用いて簡単な登録システムを作成しています。	2021-10-23 17:27:28
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	pythonのcsvファイルを利用した範囲指定での計算	https://teratail.com/questions/365852?rss=all	pythonのcsvファイルを利用した範囲指定での計算前提・実現したいことpythonのcsvファイルを利用した範囲指定での計算pythonでpandasを用いてプログラムを作っているのですが、エラーメッセージが出てしまいます。	2021-10-23 17:24:59
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	WSL2上でビルドしたkaggle/docker-pythonが、pytorch上でGPUを認識しない	https://teratail.com/questions/365851?rss=all	WSL上でビルドしたkaggledockerpythonが、pytorch上でGPUを認識しない前提・実現したいことWindowsnbspnbspWSL上にてKaggle配布のDockernbspImageで構築した環境においてPyTorch・TensorflowがGPUを認識しません。	2021-10-23 17:14:17
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	Jupyterでスクリプトファイルの関数を使う	https://teratail.com/questions/365850?rss=all		2021-10-23 17:11:28
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	unityでjsonの項目を抽出したい	https://teratail.com/questions/365849?rss=all	unityでjsonの項目を抽出したいunityでjsonをwebからダウンロードして一部項目を抜き出したいのですが、一つはできましたが、もう一つの項目は配列型ではないからか取得が難しいです。	2021-10-23 17:08:38
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	UE4で画像テクスチャをファイルパスから直接指定したい	https://teratail.com/questions/365848?rss=all	uenbspver	2021-10-23 17:05:00
Ruby	Rubyタグが付けられた新着投稿 - Qiita	【Rails】acts-as-taggable-onで作成したタグをseedデータに取り入れる	https://qiita.com/luckylundy/items/1222a3c547bb70ab08f1	【Rails】actsastaggableonで作成したタグをseedデータに取り入れる目的自作のアプリにダミーユーザーを作成。	2021-10-23 17:51:06
Docker	dockerタグが付けられた新着投稿 - Qiita	CodeBuildのDownload Rate Limitエラー対策として、DockerIDを取得しユーザー認証してビルドする	https://qiita.com/holdout0521/items/9c7907fdb387e08375f4	CodePipelineを利用したECSのローリングデプロイ流れ①DockerHubのアカウント作成②SystemsManagerでパラメータ作成③サービスロールにポリシーをアタッチ④buildspecymlの修正⑤CodeBuildに環境変数を追加DockerHubのアカウント作成こちらのリンクからDockerHubアカウントを作成します。	2021-10-23 17:34:20
Ruby	Railsタグが付けられた新着投稿 - Qiita	【Rails】acts-as-taggable-onで作成したタグをseedデータに取り入れる	https://qiita.com/luckylundy/items/1222a3c547bb70ab08f1	【Rails】actsastaggableonで作成したタグをseedデータに取り入れる目的自作のアプリにダミーユーザーを作成。	2021-10-23 17:51:06
Ruby	Railsタグが付けられた新着投稿 - Qiita	【Rails】(gem draper) decoratorについてまとめ　helperとの使い分け方も	https://qiita.com/mm_st/items/622538fa2fedb0756ae3	メソッド検索の順番はデコレーター内→親デコレーター内→モデル内今回だったら、Userモデル内のメソッドを使用することができるdeffullnameobjectfirstnameobjectlastnameendobjectはデコレートしているモデルを参照するメソッドエイリアスがmodelなので、これでも同じになるdeffullnamemodelfirstnamemodellastnameendviewに表示する今ログインしているユーザーcurrentuserのフルネームを表示するsharedheaderhtmlrebltdivgtltcurrentuserdecoratefullnamegtltdivgtdecoratorとhelperの使い分けについてポイント・両方ともviewにロジックを描かないために使用されるもの・全てをhelperに書いてしまうとfat化の可能性があるため、decoratorと分けて使用することが望ましい・使い分け方はこのようにする↓HelperはModelに依存しないロジックDecoratorはModelに依存するロジック両者とも共通しているのはビューにロジックを書かないために使われるものですね。	2021-10-23 17:28:52
技術ブログ	Developers.IO	Amazon QuickSightで、待望のIPアドレスによるアクセス制限が出来るようになりました	https://dev.classmethod.jp/articles/quicksight-ip-restrict/	amazonquicksight	2021-10-23 08:06:06
海外TECH	MakeUseOf	6+ Best Horror Podcasts for Spooky Fiction and True Scary Stories	https://www.makeuseof.com/best-horror-podcasts-spooky-fiction-true-scary-stories/	Best Horror Podcasts for Spooky Fiction and True Scary StoriesFrom horror fiction anthologies and reader submitted true tales to classic radio plays of thriller masters these are the best scary podcasts online	2021-10-23 08:30:21
海外TECH	DEV Community	First Hacktoberfest and open source contributionand ,How I am start	https://dev.to/deepakguptacoder/first-hacktoberfest-and-open-source-contributionand-how-i-am-start-1af	First Hacktoberfest and open source contributionand How I am start How I started open sourceThis is started months ago when I was watching a video on YouTube by Kunal Kushwaha and Eddie Jaoude They talked about open source and how a college student start contributing to open source If you are beginner and want to start contribute to open source then you have to join any organization There you will get step by step guidance about how to get started and it s help you to grow in this field I was started my First time contribution in EddieHub organization repository after that some day I listen about hacktoberfest before this I don t have any idea about Hacktoberfest then I starts asking question in community and search on google about this Hacktoberfest is a month long celebration of open source software by DigitalOcean that encourages participation in giving back to the open source community Developers get involved by completing pull requests participating in events and donating to open source projects During this event anyone can support open source by contributing changes and earn limited edition swag This is the beginner friendly so any can participate no matter you are a coder pro level coder or a newbie even you can start by contributing in documentation every participation get the existing Gift Here I also provide the Link of the hacktoberfest Hacktoberfest Conclusion I hope you found this article useful if you need any help please let me know in the comment section	2021-10-23 08:50:04
海外TECH	DEV Community	Network Attack Detection Methods Based On Deep Learning Technique	https://dev.to/grayhat/network-attack-detection-methods-based-on-deep-learning-technique-2lmc	Network Attack Detection Methods Based On Deep Learning TechniqueEarlier this week i was privileged to be among the amazing speakers at Cisco DevNet Create Conference to speak on how we can use deep learning techniques to detect network attacks in this article i am going to convert my session slides into a technical article i hope you enjoys reading the article IntroductionWith the continuous development of computer network technology security problems in the network are emerging one after another  and hence new threats and challenges have emerged to wireless communication system especially in cybersecurity and it is becoming more and more difficult to ignore For the current network administrators how to successfully prevent malicious network hackers from invading so that network systems and computers are at Safe and normal operation is an urgent task  With the recent vast amount of data being produced everyday we have access to extensible dataset to learn from and tackle sophisticated attackers who can easily bypass basic intrusion detection systems IDS This is where deep learning comes into play During this presentation we will discover how we can use deep learning to detect network attacks But first let understand network attacks and deep learning as different domain What is Deep LearningDeep Learning is a machine learning technique that teaches computers to do what comes naturally to human learning by examples Deep learning is a key technology behind driverless cars enabling them to recognise important traffic signs It is the key to voice control consumers devices like tablets laptops and mobile phone and currently it is becoming the key technology in network attack detection using deep learning we can detect an irregular patterns that may be cause my malicious software in the users devices let say laptop and be able to detect clean or recover system from the malicious software Imagine of a case where the attacker is using brute force attack where they are trying to submit many passphrases with hopes of eventually guessing the password correctly we can analyses the closeness of the correct password and the passphrases being submitted and enhance more security measures like asking for secrete name that the user submitted while creating let say the user account to identify if the person or the system eg bot trying to login is really the legitimate owner of the account What is Network AttackNetwork attacks as defined by forcepoint are unauthorised actions on the digital assets within an organisation network here malicious parties usually executes network attacks to alter destroy or steal data where the perpetrators in network attacks tends to target network perimeters to gain access to internal systems The two network attacks are the passive network attack where the malicious party gains unauthorised access to network monitors and steals private data with out making any alterations and the active network attack which involves modifying encrypting or damaging data Some of the common methods which we use protecting the network includes use of antivirus use of firewalls intrusion detecting systems information technology policies encryption ensuring every device in a network is capable of restricting access using passwords and detecting the attacks early using machine learning and deep learning techniques Why use deep learning techniques Nowadays deep learning has dominated the various fields and disrupting the way we used to do many thing especially with the recent breakthrough in the artificial general intelligence not only do these deep learning techniques enabled rapid progress in every field they are applied but even surpassing human performance in many of them Artificial general Intelligence is on par with human capabilities that is artificial general intelligence systems can perform any task that human can with greater efficacy than human can in several activities One of these tasks is image classification and pattern recognition Unlike more traditional methods of machine learning techniques deep learning classifiers are trained through feature learning rather than task specific algorithms What this means is that the machine will learn patterns in the images that it is presented with rather than requiring the human operator to define the patterns that the machine should look for in the image In short it can automatically extract features and classify data into various classes Use case detecting Cloud Network AttackWhen trying to detect cloud network attacks you first you should start by understanding the problem then follow the following steps Collect the cloud network dataset Clean the data and perform feature engineer Choose the deep learning model to use Recurrent neural network deep neural network grey wolf optimisation or convolutional neural network are major choices to consider Test the performance of our trained model and optimise the results Deploy the best performing model in our network Bravo we now have our network batman Remember it is very important to understand the detection framework that is the approach you are using to detect the network attack now enough of learn go practice Let Connect You can get in touch with me easily via the following channels Twitter LinkedIn Instagram Am also the creator and founder of Lux Academy and Data Science East Africa communities you can check all the activities by the communities using the following links be sure to follow and turn on the notification button to get the latest announcements from the communities Lux Tech Academy Data Science East Africa Cheers and Happy Coding	2021-10-23 08:15:14
ニュース	BBC News - Home	Covid: Dogs bought in lockdown being abandoned	https://www.bbc.co.uk/news/uk-wales-58996017?at_medium=RSS&at_campaign=KARANGA	centres	2021-10-23 08:25:52
サブカルネタ	ラーブロ	麺や 独歩@昭島市<油そば(小盛)＋味たま>	http://feedproxy.google.com/~r/rablo/~3/snQIFbPcA_o/single_feed.php	非接触型	2021-10-23 09:30:50
サブカルネタ	ラーブロ	麺屋 歩夢@自宅【お取り寄せ】<ラーメン>	http://feedproxy.google.com/~r/rablo/~3/zkeAoRHgY6g/single_feed.php	醤油	2021-10-23 09:29:52
北海道	北海道新聞	松山は６８で首位堅持　米男子ゴルフ第３日	https://www.hokkaido-np.co.jp/article/603415/	千葉県習志野	2021-10-23 17:08:00